Dr. Yehezkel Resheff
Short Interest:
Machine Learning Approach to Analysis of Biologger Data in Movement Ecology
Interest:
As data becomes increasingly abundant in the field or Movement Ecology, we face the need for new tools and methods for managing, processing and analyzing it. This era of “big data” presents new challenges on the one hand, but is believed to have the capacity to lead us to unparalleled insight and discovery. My work focuses on adapting and creating tools from the field of machine learning in computer science, for the analysis of bio-logger movement data.
Role:
Alumni
Years:
2013-2017
Email(s):
Fax:
+972-(0)2-6586080
Address:
Department of Ecology, Evolution and Behavior, The Hebrew University of Jerusalem, Givat Ram, Jerusalem 91904, Israel
Publications
Weegman, M., S. Bearhop, G. M. Hilton, A. J. Walsh, L. Griffin, Y. S. Resheff, R. Nathan, and A. D. Fox, (2017) Using accelerometry to compare costs of extended migration in an Arctic herbivore | Current Zoology
Weegman, M., S. Bearhop, G. M. Hilton, A. J. Walsh, L. Griffin, Y. S. Resheff, R. Nathan, and A. D. Fox, (2017) Using accelerometry to compare costs of extended migration in an Arctic herbivore | Current Zoology 667–674 : 63
. Rotics, S., M. Kaatz, Y. S. Resheff, S. M. Turjeman-Feldman, D. Zurell, N. Sapir, U. Eggers, A. Flack, W. Fiedler, F. Jeltsch, M. Wikelski, and R. Nathan, (2016) The challenges of the first migration: movement and behavior of juvenile versus adult white storks with insights regarding juvenile mortality. | Journal of Animal Ecology 938–947 : 85
Resheff, Y. S., S. Rotics, R. Nathan, and D. Weinshall, (2016) Topic modeling of behavioral modes using sensor data | International Journal of Data Science and Analytics 51-60 : 1
Resheff, Y. S., S. Rotics, R. Nathan, and D. Weinshall, (2015) Matrix factorization approach to behavioral mode analysis from acceleration data | IEEE/ACM International Conference on Data Science and Advanced Analytics (DSAA), Paris 1-6